Instructions to use zera09/segment_mask_token_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/segment_mask_token_v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zera09/segment_mask_token_v2") model = AutoModelForSeq2SeqLM.from_pretrained("zera09/segment_mask_token_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zera09/segment_mask_token_v2: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/zera09/segment_mask_token_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://zera09/segment_mask_token_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zera09/segment_mask_token_v2/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- ca2bbb2dc90fabd22f5baf15a89958aea2e851a170d5d4f5802a1563110c2501
- Size of remote file:
- 5.43 kB
- SHA256:
- 068e38759995fa3ebb5e16ae00c07d676d266420c57dc7de9e44fee61d4c6a51
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